Summarization
Transformers
PyTorch
TensorBoard
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use Miranda/t5-small-train with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Miranda/t5-small-train with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "summarization" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("summarization", model="Miranda/t5-small-train")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Miranda/t5-small-train") model = AutoModelForSeq2SeqLM.from_pretrained("Miranda/t5-small-train") - Notebooks
- Google Colab
- Kaggle
Training complete
Browse files- pytorch_model.bin +1 -1
- runs/Apr29_00-42-50_bc0603edcd22/1651193102.4647226/events.out.tfevents.1651193102.bc0603edcd22.70.1 +3 -0
- runs/Apr29_00-42-50_bc0603edcd22/events.out.tfevents.1651193102.bc0603edcd22.70.0 +3 -0
- runs/Apr29_00-42-50_bc0603edcd22/events.out.tfevents.1651193430.bc0603edcd22.70.2 +3 -0
- training_args.bin +1 -1
pytorch_model.bin
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